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  • Search: subject:"Q‐Q plot"
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Year of publication
Subject
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Q-Q plot 3 P-P plot 2 Statistical distribution 2 Statistical test 2 Statistische Verteilung 2 Statistischer Test 2 calibration for simultaneity 2 combined tests 2 distribution testing 2 kurtosis 2 normal standardized Q-Q plot 2 simultaneous null bands 2 Analysis of means 1 Bootstrap 1 Estimation theory 1 Exponential Power Distribution 1 Half logistic distribution 1 Hierarchical structure 1 Logistic data processing 1 Model assessment 1 Posterior predictive distribution 1 Probability theory 1 P–P plot 1 Q‐Q plot 1 Q–Q plot 1 ROC curve 1 Schätztheorie 1 Shift function 1 Statistical theory 1 Statistics 1 Statistische Methodenlehre 1 Theorie 1 Theory 1 Wahrscheinlichkeitsrechnung 1 Wilcoxon–Mann–Whitney test 1 exponential power distribution 1
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Online availability
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Free 4 Undetermined 3
Type of publication
All
Article 5 Book / Working Paper 2
Type of publication (narrower categories)
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Arbeitspapier 1 Article 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1 research-article 1
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Language
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English 5 Undetermined 2
Author
All
Coin, Daniele 2 Paolella, Marc S. 2 Ghosh, Kaushik 1 Kantam, R.R.L. 1 Rao Boyapati, Srinivasa 1 Sedransk, J. 1 Tiwari, Ram 1 Yan, Guofen 1
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Institution
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Banca d'Italia 1
Published in...
All
Annals of the Institute of Statistical Mathematics 1 Econometrics 1 Econometrics : open access journal 1 International Journal of Quality & Reliability Management 1 Statistical Papers / Springer 1 Temi di discussione (Economic working papers) 1 Temi di discussione / Banca d'Italia 1
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Source
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RePEc 3 ECONIS (ZBW) 2 EconStor 1 Other ZBW resources 1
Showing 1 - 7 of 7
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A goodness-of-fit test for generalized error distribution
Coin, Daniele - 2017
Persistent link: https://www.econbiz.de/10011947743
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New graphical methods and test statistics for testing composite normality
Paolella, Marc S. - In: Econometrics 3 (2015) 3, pp. 532-560
Several graphical methods for testing univariate composite normality from an i.i.d. sample are presented. They are endowed with correct simultaneous error bounds and yield size-correct tests. As all are based on the empirical CDF, they are also consistent for all alternatives. For one test,...
Persistent link: https://www.econbiz.de/10011755292
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Cover Image
New graphical methods and test statistics for testing composite normality
Paolella, Marc S. - In: Econometrics : open access journal 3 (2015) 3, pp. 532-560
Several graphical methods for testing univariate composite normality from an i.i.d. sample are presented. They are endowed with correct simultaneous error bounds and yield size-correct tests. As all are based on the empirical CDF, they are also consistent for all alternatives. For one test,...
Persistent link: https://www.econbiz.de/10011297545
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A method to estimate power parameter in Exponential Power Distribution via polynomial regression
Coin, Daniele - Banca d'Italia - 2011
on the Normal Standardized Q-Q Plot and exploiting the relationship between B and the kurtosis. It is a direct method …
Persistent link: https://www.econbiz.de/10009386391
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Extreme value charts and analysis of means based on half logistic distribution
Rao Boyapati, Srinivasa; Kantam, R.R.L. - In: International Journal of Quality & Reliability Management 29 (2012) 5, pp. 501-511
Purpose – The purpose of this paper is to examine extreme value charts and analyse means based on half logistic distribution. Design/methodology/approach – Variable control charts with subgroup observations based on the extreme values at each subgroup are constructed without specially going...
Persistent link: https://www.econbiz.de/10014800699
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A note on Bayesian residuals as a hierarchical model diagnostic technique
Yan, Guofen; Sedransk, J. - In: Statistical Papers 51 (2010) 1, pp. 1-10
Persistent link: https://www.econbiz.de/10008467057
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Empirical process approach to some two-sample problems based on ranked set samples
Ghosh, Kaushik; Tiwari, Ram - In: Annals of the Institute of Statistical Mathematics 59 (2007) 4, pp. 757-787
Persistent link: https://www.econbiz.de/10005616401
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